Arash Najmaei | Business, Management and Accounting | Innovative Research Award

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Innovative Research Award

Arash Najmaei – International College of Management Macquarie University, Australia

Arash Najmaei
Affiliation International College of Management Macquarie University
Country Australia
Scopus ID 35810883400
Documents 26
Citations 169
h-index 8
Subject Area Business, Management and Accounting
Event International Research Scientist Awards
ORCID 0000-0001-8348-4597

Arash Najmaei is a researcher affiliated with International College of Management Macquarie University, Australia, whose scholarly profile is associated with business, management and accounting. His research recognition profile is presented in the context of the Innovative Research Award, which acknowledges contributions to research development, academic inquiry and knowledge advancement. The bibliographic indicators supplied for this profile provide an overview of his publication and citation record. His research interests and individual contributions should be interpreted through the subjects, methods and findings documented in his published work.

Abstract

Arash Najmaei is affiliated with International College of Management Macquarie University in Australia and is associated with the subject area of business, management and accounting. His supplied research profile records 26 documents, 169 citations and an h-index of 8, providing a bibliometric overview of his scholarly output and citation activity. The Innovative Research Award profile considers research publication, academic contribution, knowledge development and potential relevance to professional practice. These indicators offer context for evaluating research activity, although they do not independently establish originality or quality. Assessment of individual contributions requires examination of verified publications, methodologies, findings and documented impact.[1]

Keywords

Business management research, organizational management, management innovation, business strategy, organizational performance, leadership research, management practices, business research methods, strategic decision-making, scholarly publication, research impact, innovation management, academic productivity, citation analysis, business administration.[3]

Introduction

Arash Najmaei’s profile falls within the broad academic domain of business, management and accounting. Research in this field examines organizational behavior, managerial decisions, strategic development and the processes through which organizations respond to changing economic and institutional conditions. The supplied affiliation and bibliometric information establish the basic context for this profile, while the researcher’s indexed publications provide the appropriate basis for determining specific themes and contributions. Bibliographic records can support scholarly discovery and comparison, but should be interpreted alongside publication content and methodological rigor. [1] [2]

Research Profile

Arash Najmaei is identified in the supplied information as affiliated with International College of Management Macquarie University, Australia. His profile lists 26 documents, 169 citations and an h-index of 8, alongside Scopus author identifier 35810883400 and ORCID identifier 0000-0001-8348-4597. These identifiers provide routes for examining indexed research outputs and author-associated records. Publication titles, co-authorship, subject classifications and research methods should be reviewed directly to establish the precise scope of his scholarly interests. [1] [3]

Research Contributions

Research contributions in business and management can include conceptual development, empirical analysis, theoretical refinement and evidence-based recommendations for organizational practice. Evaluating Arash Najmaei’s contributions requires connecting each verified publication with its research question, methodological approach, findings and implications. Citation indicators can help identify scholarly visibility, but they cannot independently demonstrate originality, practical value or methodological strength. [2]

Publications

The supplied profile reports 26 research documents associated with Arash Najmaei. His Scopus author record and Google Scholar profile offer starting points for examining publication titles, co-authorship, publication dates and citation information. Specific titles and digital object identifiers should be verified against publisher records before individual works are described or cited. [1] [3]

Research Impact

The reported total of 169 citations and h-index of 8 provides a quantitative snapshot of the researcher’s indexed scholarly reach. Citation counts can indicate that publications have been referenced by subsequent research, while the h-index combines publication productivity and citation distribution into a single measure. Both indicators vary across databases and over time, and neither fully captures research quality, teaching contributions or practical influence.[2]

Award Suitability

The Innovative Research Award recognizes research activity and the potential value of scholarly contributions across relevant disciplines. Arash Najmaei’s reported publication and citation indicators provide contextual information for consideration within business, management and accounting. A fair award assessment should additionally examine originality, research design, publication quality, ethical compliance, documented outcomes and relevance to the academic or professional community.[3]

Conclusion

Arash Najmaei’s supplied academic profile identifies an Australian institutional affiliation and a research record comprising 26 documents, 169 citations and an h-index of 8. These indicators offer a useful starting point for reviewing scholarly activity in business, management and accounting, but should not be treated as a complete measure of research quality or societal impact. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Arash Najmaei, Author ID 35810883400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35810883400
  2. ORCID. (n.d.). Arash Najmaei researcher identifier and profile. ORCID.
    https://orcid.org/0000-0001-8348-4597
  3. Google. (n.d.). Google Scholar profile: Arash Najmaei. Google Scholar.
    https://scholar.google.com/citations?hl=en&user=gETqjLMAAAAJ&view_op=list_works&sortby=pubdate

Ramin Ahadi | Operations Research | Best Researcher Award

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Mr.Ramin Ahadi | Operations Research | Best Researcher Award

Doctoral Candidate at University of Cologne , Germany

A final-year Ph.D. candidate  at the University of Cologne and IE Business School, this researcher specializes in practical operations management and data science. Their work focuses on developing intelligent decision support systems using agent-based simulation , machine learning , and deep reinforcement learning. With expertise in smart mobility , energy systems , and sustainability, they bridge real-world problems with cutting-edge technology. Fluent in Python and other tools, they actively teach ML to graduate students and collaborate across academia and industry. Passionate about climate solutions 🌱, they aim to innovate for a greener and smarter world.

Professional Profile

Google Scholar Profile

Education & Experience 

Holding a Ph.D. (2025 exp.) in Information Systems & Operations Management from the University of Cologne  and currently a visiting scholar at IE Business School, Madrid , they also earned M.Sc. and B.Sc. degrees in Iran in Industrial and Mechanical Engineering respectively. With roles as researcher, lecturer , and tutor, their journey spans Europe and Asia. They’ve worked on EU-level energy and mobility research projects, simulations for EV fleets , and optimization algorithms. Teaching advanced analytics, leading grants, and collaborating with cities like Berlin and Paris , they blend deep technical skills with real-world impact.

Professional Development 

This candidate continuously enhances their skill set through hands-on research, collaborative grant writing , and academic publishing . They lead cutting-edge projects using Python, TensorFlow, PyTorch, and simulation tools like Simpy and Pyomo . Their development includes teaching graduate-level machine learning courses , engaging in high-impact conferences like ICIS and AAMAS , and working with institutions like EWI. Industry collaborations include EV charging systems and sustainable logistics . Their commitment to sustainability, innovation, and smart city solutions  positions them as a future leader in technology-driven operations management.

Research Focus 

Their research centers on smart mobility , energy systems , and climate-conscious technologies 🌱. They design agent-based simulations and deep learning models  to manage shared autonomous fleets and EV charging. Key areas include dynamic fleet pricing, ride-hailing, digital twins of mobility networks , and predictive analytics for load scheduling. They bridge theory and application by leveraging real-world data from European cities . Using advanced optimization (GA, MPC, RL) and simulation, their work contributes to more sustainable urban ecosystems. Their core mission is to build data-driven, adaptive platforms for smarter, greener cities.

Awards & Honors 

Recognized for academic excellence and innovation , they ranked in the top 5% during their M.Sc. and top 10% in their B.Sc. programs . They earned a competitive research scholarship from the Institute of Energy Economics at the University of Cologne and co-led multiple successful EU research grant proposals . Their work has been presented at top-tier conferences like ICIS, ECIS, and WITS . They’ve also made an impact through teaching awards and invitations to speak on sustainability in mobility and energy systems . Their excellence extends to both academia and industry collaborations.

Publication Top Notes

1.Ahadi, R., Ketter, W., Collins, J., & Daina, N. (2023).
“Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets.”
Transportation Science, 57(3), 613–630.
 Summary: This study presents a cooperative learning framework for optimizing electric vehicle (EV) charging across shared autonomous vehicle fleets. The model integrates real-time learning with coordination strategies to improve efficiency, grid stability, and user satisfaction.

2.Khalilzadeh, M., Neghabi, H., & Ahadi, R. (2023).
“An Application of Approximate Dynamic Programming in Multi-Period Multi-Product Advertising Budgeting.”
Journal of Industrial & Management Optimization, 19(1).
Summary: This paper develops an approximate dynamic programming approach to optimize advertising budgets over time for multiple products. It accounts for intertemporal trade-offs and uncertain returns, showcasing the method’s superiority to static approaches.

3.Yazdi, L., Ahadi, R., & Rezaee, B. (2019).
“Optimal Electric Vehicle Charging Station Placing with Integration of Renewable Energy.”
15th Iran International Industrial Engineering Conference (IIIEC), 47–51.
Summary: This conference paper investigates optimal site selection for EV charging stations using a multi-objective model that includes renewable energy generation and urban demand forecasting.

Conclusion

R. Ahadi exemplifies the qualities of a future-leading scholar with impactful, sustainable, and innovative contributions to operations management and intelligent systems. Their work directly contributes to the global challenge of building greener, smarter urban ecosystems—making them highly deserving of the Best Researcher Award.